Description: The code implements a probabilstic Neuraol network for classification problems trained with a Leave One Out Cross Validation Scheme in Matlab (version 7 or above). The following toolboxes are required: statidtics, optimization and neural networks.
- [AnnInMat] - matlab neural network to write a few dem
- [PNN] - PNN is also known as the probabilistic n
- [PNN] - Embedded C probabilistic neural network
- [PNN] - pnn classifier algorithm, using MATLAB s
- [libsvm-2.84] - LIBSVM Taiwan University, Lin Zhiren (Li
- [PNN] - pnn neural network algorithm, by trainin
- [PNN] - Probabilistic neural network PNN in MATL
- [Instrument_demo] - Decision Trees and Predictive Models wit
File list (Check if you may need any files):
formatpi.m
formatt.m
hasfield.m
isbias.m
isbool.m
isempmat.m
isinput.m
islayer.m
isnif.m
isoutput.m
isposint.m
istf.m
isweight.m
preparaCrossValidation.m
preparaCrossValidation.asv
sim2.m
TENTATIVAmlp_trainbr1_CZCL_6.m
train_2.m
train_2.asv
trainbr_2.m
trainbr_2.asv
active.m
boolstr.m
checkai.m
checkp.m
checkpi.m
checkt.m
CZCL_6.txt
formatai.m
formatp.m
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